{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# matplotlibの使い方\n",
    "\n",
    "http://ch.nicovideo.jp/keoro-ash/blomaga/ar867749"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy  as np\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nauJ/Acz2XLpusNoKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8c7c792a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### figureインスタンスの作成\n",
    "# デフォルト\n",
    "fig = plt.figure()\n",
    "\n",
    "# 画面大きさを指定\n",
    "#fig = plt.figure(figsize=(5,5))\n",
    "#fig = plt.figure(figsize=(10,10))\n",
    "\n",
    "### 軸を追加\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "#ax = fig.add_subplot(2,2,2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# y = x のグラフ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f8c7cb68080>]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IhCQPOw+VcNXwrsye2J9WTTVMS+ovFbrICYrKKlj43mZe+3o3UeGh/PPmEYzupWFaUv+p\n0EV+4KPNB5iTnEpuURk3n92dP/2qL80aa9m+BAYVughw6Ogx/rIinWXf7aNvh5Y8e+1Qzura2ulY\nImdEhS5BzVrLO54c7lueRlFZBXdc0Jtbz+9F40Zati+BR4UuQSunoJS5b6fyYUYug7q25uFpA+nb\nsaXTsURqTIUuQcfrtbzxzR4eXJlBhdfL3ZP6c+OY7jTUsn0JcCp0CSo7DxaTkOzhq6x8RvVoy8Jp\ncXRrq2Fa4g4qdAkKlVVeXvh8B39dvYXGDRvw4KVxXDmsq5bti6uo0MX1Nu8vZFaih++zCxjXvwP3\nXxJLx7CmTscS8TsVurjWscoqnlq7nafXbiOsWQh/u2owkwd20lG5uJYKXVzp292HmZnoYWvuUS45\nqzP3XDSA8OaNnY4lUqtU6OIqJeWV/HX1Fl74fAcdWjblhRviGdtPw7QkOKjQxTW+2HaQhOQUdueX\ncPWIKBIu7EdLDdOSIKJCl4BXUFrBgyszeOObPUS3DeWNGSMZ2aOt07FE6pwKXQLa6rT93P12KgeP\nHuOWc3vwx3F9aBqiYVoSnFToEpAOHj3GfcvTWOHJoV/Hljx/fTwDIzVMS4KbCl0CirWWZd/tY947\naRQfq+LPv+rDLef2JKShhmmJqNAlYOw7UspdS1NYm5nH4Kjjw7R6d9AwLZF/U6FLvef1Wl5bv5uH\n3ttMlddy70UxXDcqWsO0RE7gc6EbYxoCG4C91trJvkcS+f92HCxmVpKH9TvyObtXOx68NI6u4aFO\nxxKpl/xxhH4HkAG08sN7iQDHh2k9/9kOHv9gC00aNeDhywZy+dBILdsX+Rk+FboxJhKYBCwA/scv\niSTope8rZFaSh5S9BYwf0IH5U2Jp30rDtEROxdcj9CeAmYB+MyU+O1ZZxZMfbeOZj7fTOjSEp68e\nwoWxHXVULnKaalzoxpjJQK61dqMx5ryfed0MYAZAVFRUTTcnLrdx12FmJXnYlnuUS4d0Ye6kGNpo\nmJbIGfHlCH0McLExZiLQFGhljHnVWnvND19krV0MLAaIj4+3PmxPXKj4WCWPrs7kpS920jmsGUum\nD+fcPhFOxxIJSDUudGvtbGA2QPUR+p9PLHORn/Pp1jxmJ6eQfbiU60d1484J/WjRRFfSitSUfnqk\nzhWUVLBgZTpvbsimR0Rz3vrdKIZFhzsdSyTg+aXQrbUfAx/7473E3Val7mfuslTyi8v5r/N6cvsF\nvTVMS8RPdIQudSKv6Bj3Lk9lZcp+Yjq14sUbhhHbJczpWCKuokKXWmWtJXnTXv6yIp3SiiruHN+X\nGef00DAtkVqgQpdak324hDlLU1m3JY/4bm1YOG0gvdq3cDqWiGup0MXvvF7Lq1/v4qH3NmOBeRcP\n4NqR3WigYVoitUqFLn61Pe8osxI9bNh1mHP6RPDA1Fgi22iYlkhdUKGLX1RUeVm8LotFa7bSLKQh\nj14+iGlDumjZvkgdUqGLz1L3FjAryUPavkImxnXkvosH0L6lhmmJ1DUVutRYWUUV/7tmK39fl0Wb\n0MY8e80QJsR2cjqWSNBSoUuNbNiZz8wkD1l5xVw+NJK7J8UQFhridCyRoKZClzNy9Fglj6zazMtf\n7aJzWDNenj6cczRMS6ReUKHLaftkSx5zklPYV1DK9aOiuXN8X5prmJZIvaGfRjmlIyXlzF+RQdKm\nbHpGNOetW0YRr2FaIvWOCl1+1nspOcxdlsaRknJuO78Xt43tpWFaIvWUCl1OKrewjHuWpbEqbT+x\nXVqxZPowBnTWMC2R+kyFLj9ireWtjdncvyKdY5VeEi7sx81nd6eRhmmJ1HsqdPmPPfklzFmawqdb\nDzI8OpyF0+LoEaFhWiKBQoUuVHktL3+5k4dXZdLAwPxLYrl6eJSGaYkEGBV6kNuWW8TMRA+bdh/h\n3D4RPHBpHF1aN3M6lojUgAo9SFVUefn7J9v53zXbCG3SkMeuGMTUwRqmJRLIVOhBKCW7gDsTv2fz\n/iImxXXivosHENGyidOxRMRHKvQgUlZRxeMfbuG5dVm0a9GEv187lPEDOjodS0T8RIUeJL7OOkRC\ncgo7Dhbz6/iuzJnUn7BmGqYl4iYqdJcrKqvg4VWZvPLVLrqGN+O1m0cwplc7p2OJSC1QobvY2sxc\n7kpOIaewjOljuvPn8X0IbawvuYhb6afbhQ4XlzN/RTrJ3+6ld/sWJP1+NEOi2jgdS0RqmQrdRay1\nrPDkcN/yNApKK7j9gt7cen5PmjTSMC2RYKBCd4kDhWXctTSVDzMOMDAyjNd+O4J+HVs5HUtE6pAK\nPcBZa/nXN3tYsDKD8kovd03sz41jojVMSyQIqdAD2K5DxcxOTuGL7YcY0T2ch6YNJLpdc6djiYhD\nVOgBqMprefHzHTy6OpNGDRqwYGosVw3TMC2RYKdCDzCZ+4uYleThuz1HGNuvPQumxtIpTMO0RMSH\nQjfGdAVeBjoAFlhsrV3kr2DyY+WVXp7+eBtPrd1Gy6YhLLryLC4e1FnDtETkP3w5Qq8E/mSt3WSM\naQlsNMZ8YK1N91M2qfb9niPMTPSQeaCIKWd15p7JMbRtoWFaIvJjNS50a20OkFP9uMgYkwF0AVTo\nflJaXsVjH2Tyj8920L5lU56/Lp5xMR2cjiUi9ZRfzqEbY6KBwcDX/ng/gS+3HyIh2cOuQyX8ZkQU\nCRf2o1VTDdMSkZ/mc6EbY1oAScB/W2sLT/LnM4AZAFFRUb5uzvUKyyp4cOVmXl+/m25tQ/nnb0cw\nuqeGaYnIqflU6MaYEI6X+WvW2uSTvcZauxhYDBAfH2992Z7brck4wF1LU8ktKmPGOT3447g+NGus\nZfsicnp8ucrFAP8AMqy1j/kvUvA5dPQY895JZ/n3++jboSXPXjuUs7q2djqWiAQYX47QxwDXAinG\nmO+qn5tjrV3pe6zgYK1l+ff7mPdOOkVlFfxxXB9+f15PGjfSsn0ROXO+XOXyGaCLoGsop6CUu5em\nsmZzLmd1bc3Dlw2kT4eWTscSkQCmlaJ1zOu1vP7Nbh5cuZkqr2Xu5BhuGB1NQy3bFxEfqdDr0M6D\nxSQke/gqK5/RPduy8NKBRLUNdTqWiLiECr0OVFZ5eeHzHfx19RYaN2rAQ9PiuCK+q5bti4hfqdBr\nWUZOIbOSPHiyCxjXvwMLpsbSoVVTp2OJiAup0GvJscoqnlq7nafXbiOsWQhP/mYwk+I66ahcRGqN\nCr0WbNp9mFmJHrbmHmXq4C7cMzmGNs0bOx1LRFxOhe5HJeWV/HX1Fl74fAcdWzXlxRuGcX6/9k7H\nEpEgoUL3k8+3HSQh2cOe/FKuGRnFrAn9aKlhWiJSh1ToPiooreDBlRm88c0eurdrzr9mjGREj7ZO\nxxKRIKRC98HqtP3c/XYqh4rL+d25Pfnvcb1pGqJhWiLiDBV6DeQVHeO+d9J415ND/06t+Mf1w4iL\nDHM6logEORX6GbDW8vZ3e5n3Tjolx6r40y/78LvzehLSUMO0RMR5KvTTtO9IKXctTWFtZh5Doo4P\n0+rVXsO0RKT+UKGfgtdreW39bhauzMBr4Z7JMVyvYVoiUg+p0H9GVt5REpJTWL8jn1/0bscDU+Po\nGq5hWiJSP6nQT6Kyysvzn+3g8Q+20KRRAx65bCCXDY3Usn0RqddU6CdI31fIzKTvSd1byPgBHZg/\nJZb2GqYlIgFAhV6trKKKJz/axrOfbKd1aAhPXz2EiXGdnI4lInLaVOjAxl35zEpKYVvuUaYNiWTu\n5P60DtUwLREJLEFd6MXHKnnk/UyWfLmTzmHNWDJ9OOf2iXA6lohIjQRtoa/bksfs5BT2FZRy3chu\n3DmhHy2aBO1/DhFxgaBrsIKSCua/m07ixmx6RDTnzVtGMSw63OlYIiI+C6pCX5Waw9xlaeQXl/Nf\n5/Xk9gs0TEtE3CMoCj23qIx7l6XxXup+Yjq14sUbhhHbRcO0RMRdXF3o1lqSNu1l/op0SiuquHN8\nX2ac00PDtETElVxb6NmHS5izNJV1W/KI79aGhdMG0qt9C6djiYjUGtcVutdreeWrXTy0ajMG+MuU\nAVwzohsNNExLRFzOVYW+LfcoCUkeNuw6zDl9InhgaiyRbTRMS0SCgysKvaLKy+J1WSxas5VmIQ35\n6+WDuHRIFw3TEpGgEvCFnrq3gJmJHtJzCrkwtiPzpgygfUsN0xKR4BOwhV5WUcWiNVtZvC6L8OaN\nefaaIUyI1TAtEQlePhW6MWYCsAhoCDxvrV3ol1Sn8M3OfGYlesg6WMwV8ZHcNTGGsNCQuti0iEi9\nVeNCN8Y0BJ4CfglkA98YY5Zba9P9Fe5ER49V8vCqzbz85S4i2zTj1ZtGcHbvdrW1ORGRgOLLEfpw\nYJu1NgvAGPMGMAWolUL/ODOXu5amsq+glBtGR3Pn+L401zAtEZH/8KURuwB7fvB5NjDCtzgnNzs5\nhdfX76ZX+xYk/m40Q7u1qY3NiIgEtFo/xDXGzABmAERFRdXoPaLbhvKHsb24bWwvmjTSMC0RkZPx\npdD3Al1/8Hlk9XM/Yq1dDCwGiI+PtzXZ0C3n9qzJXxMRCSq+TKn6BuhtjOlujGkMXAks908sERE5\nUzU+QrfWVhpjbgPe5/hliy9Ya9P8lkxERM6IT+fQrbUrgZV+yiIiIj7QYHAREZdQoYuIuIQKXUTE\nJVToIiIuoUIXEXEJY22N1vrUbGPG5AG7avjX2wEH/RgnUATjfgfjPkNw7rf2+fR0s9ZGnOpFdVro\nvjDGbLDWxjudo64F434H4z5DcO639tm/dMpFRMQlVOgiIi4RSIW+2OkADgnG/Q7GfYbg3G/tsx8F\nzDl0ERH5eYF0hC4iIj8jIArdGDPBGJNpjNlmjElwOk9tM8Z0NcasNcakG2PSjDF3OJ2prhhjGhpj\nvjXGrHA6S10xxrQ2xiQaYzYbYzKMMaOczlTbjDF/rP7eTjXGvG6Maep0ptpgjHnBGJNrjEn9wXPh\nxpgPjDFbqz/67RZs9b7Qf3Az6guBGOAqY0yMs6lqXSXwJ2ttDDASuDUI9vnf7gAynA5RxxYBq6y1\n/YBBuHz/jTFdgNuBeGttLMfHb1/pbKpa8xIw4YTnEoA11trewJrqz/2i3hc6P7gZtbW2HPj3zahd\ny1qbY63dVP24iOM/4F2cTVX7jDGRwCTgeaez1BVjTBhwDvAPAGttubX2iLOp6kQjoJkxphEQCuxz\nOE+tsNauA/JPeHoKsKT68RLgEn9tLxAK/WQ3o3Z9uf2bMSYaGAx87WySOvEEMBPwOh2kDnUH8oAX\nq081PW+Mae50qNpkrd0LPArsBnKAAmvtamdT1akO1tqc6sf7gQ7+euNAKPSgZYxpASQB/22tLXQ6\nT20yxkwGcq21G53OUscaAUOAZ6y1g4Fi/PhP8Pqo+pzxFI7/z6wz0NwYc42zqZxhj19m6LdLDQOh\n0E/rZtRuY4wJ4XiZv2atTXY6Tx0YA1xsjNnJ8dNqY40xrzobqU5kA9nW2n//CyyR4wXvZuOAHdba\nPGttBZAMjHY4U106YIzpBFD9MddfbxwIhR50N6M2xhiOn1PNsNY+5nSeumCtnW2tjbTWRnP8a/yR\ntdb1R23W2v3AHmNM3+qnLgDSHYxUF3YDI40xodXf6xfg8l8En2A5cH314+uBZf56Y5/uKVoXgvRm\n1GOAa4EUY8x31c/Nqb6Hq7jPH4DXqg9YsoAbHc5Tq6y1XxtjEoFNHL+i61tcumLUGPM6cB7QzhiT\nDdwLLATeNMbcxPHps1f4bXtaKSoi4g6BcMpFREROgwpdRMQlVOgiIi6hQhcRcQkVuoiIS6jQRURc\nQoUuIuISKnQREZf4fxxVwhnMg8r5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8c7cb7d358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### xが0から10の間で0.1刻み\n",
    "x = np.arange(0, 10, 0.1)\n",
    "\n",
    "y = x\n",
    "plt.plot(x, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# タイトル付き"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f8c7cb93e10>]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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t7zJIYrnq5nngaIcd5/V3uyLJpqm1g8df28c9q8v5+/YDuMOCaYV89b0zWfS2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\nRUSSnIJeRCTJ/X9uA+5vFLVUngAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8c7cd86fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(0, 5, 0.1)\n",
    "y = np.exp(x)\n",
    "\n",
    "### タイトルをつける\n",
    "plt.title(\"exponential function: $ y = e^x $\")\n",
    "\n",
    "plt.plot(x, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Y軸の表示範囲設定"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f8c7cc1b128>]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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OcRrFi8jRU9HHoQ2l5fznO3nMyNtC3/ZZvHr9SHI0iheRelLRx5F9B6r448dr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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8c7cd2b5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(0, 5, 0.1)\n",
    "y = 10*x**2\n",
    "plt.title(\"exponential function: $ y = x^2 $\")\n",
    "\n",
    "### Y軸の表示範囲を0〜100に設定\n",
    "plt.ylim(0, 100)\n",
    "\n",
    "plt.plot(x, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# 破線を入れる"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-1.3, 1.3)"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kZSXurRdodhzhTLz9jBl0cadh6fMy/TObvUf+Y4E/tNY1gD+yb+ck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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8c7c7ae4e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### xの範囲の最大と最小\n",
    "xmin, xmax = -np.pi, np.pi\n",
    "x = np.arange(xmin, xmax, 0.1)\n",
    "\n",
    "y_sin = np.sin(x)\n",
    "y_cos = np.cos(x)\n",
    "plt.plot(x, y_sin)\n",
    "plt.plot(x, y_cos)\n",
    "\n",
    "###  y=-1, 1に破線を描画\n",
    "plt.hlines([-1, 1], xmin, xmax, linestyles=\"dashed\")\n",
    "\n",
    "plt.title(\"$\\sin(x)$ and $\\cos(x)$\")\n",
    "plt.xlim(xmin, xmax)\n",
    "plt.ylim(-1.3, 1.3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# 上下に分割する"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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gpO/qNuB2YPboY5VyOxpQSo2BMcbKSPCkA1VADfDR0QEN1wBXAS3Ab4GbjTGF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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8c7c864588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xmin, xmax = -np.pi, np.pi\n",
    "x = np.arange(xmin, xmax, 0.1)\n",
    "\n",
    "# sinのプロット\n",
    "plt.subplot(2, 1, 1)\n",
    "plt.plot(x, y_sin)\n",
    "plt.title(r\"$\\sin x$\")\n",
    "plt.xlim(xmin, xmax)\n",
    "plt.ylim(-1.3, 1.3)\n",
    "\n",
    "# cosのプロット\n",
    "plt.subplot(2, 1, 2)\n",
    "plt.plot(x, y_cos)\n",
    "plt.title(r\"$\\cos x$\")\n",
    "plt.xlim(xmin, xmax)\n",
    "plt.ylim(-1.3, 1.3)\n",
    "\n",
    "plt.tight_layout()  # タイトルの被りを防ぐ"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
